Go to TogaWare.com Home Page. Data Science Desktop Survival Guide
by Graham Williams
Duck Duck Go

Data Science Desktop Survival Guide

This book is copyright by the author and make available under the Creative Commons Attribution License. It is made available in the hope that it serves as a useful resource for users of Free and Open Source Data Science Software, and in particular the R statistical software. The procedures and applications presented in this book have been included for their instructional value. They have been tested at various times over the years but are not guaranteed for any particular purpose. We also note that functionality of different packages can change over time and whilst we make an effort to update the material the sheer volume presents a challenge. The publisher, Togaware.com, does not offer any warranties or representations, nor does it accept any liabilities with respect to the programs and applications. This book is a continual work in progress and it takes a massive effort to keep it updated. All readers are invited to send corrections, comments, suggestions, updates, and criticisms to me at Graham.Williams@togaware.com. Your feedback is most welcome and where it is acted upon will be acknowledged within the book. A PDF version of this book is available for a small fee which goes towards supporting the development and availability of the book. Please visit https://onepager.togaware.com for details of making a financial contribution and to receive the PDF version in return. The HTML version contains the same text and is freely available from https://togaware.com/onepager/. Printed May 28, 2020  
Copyright © 1995-2020 by Graham Williams
This document is released under the terms of the GNU General Public License, version 2 or later (https://www.gnu.org/licenses/gpl.html), or under the terms of the Creative Commons Attribution License, version 2.0 or later (https://creativecommons.org/licenses/by/2.0/), at your option. Permission is granted to copy and distribute this work, with or without modification, in any medium, provided this copyright notice and notice of any changes is attached and the original work is attributed.
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Other online resources include the GNU/Linux Desktop Survival Guide.
Books available on Amazon include Data Mining with Rattle and Essentials of Data Science.
Popular open source software includes rattle and wajig.
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